Terminology used in data lake - AWS Supply Chain

Terminology used in data lake

The following terms are used in data lake:

  • Entity – Information about a data object for each category. For example, company, geography, and trading_partner are entities for an organization. For more information, see Data entities and columns used in AWS Supply Chain.

  • Dataset – Information related to the entity. You can have only one dataset per entity.

  • Connector – A way to import data into AWS Supply Chain.

  • Recipe – A set of steps that describes how to map source data into one dataset.

  • Source Flows1 – Displays the datasets and fields that you uploaded.

  • Destination Flows1 – Associates the data from your dataset to the AWS Supply Chain data entities in data lake.

  • Source system1 – Your existing enterprise resource planning (ERP) system, Warehouse Management System (WMS), or any supply chain data management system.

1 – These terms are only displayed when you ingest data through Amazon S3 (or the Upload any CSV option in the web application).